Minglan Li

1.4k citations
31 papers · 1.1k · h-index 18

Impact in

Papers in

Minglan Li

31 papers receiving 1.1k citations

Peers

Minglan Li
Comparison fields: 5 of 91
  • Pediatrics, Perinatology and Child Health 503
  • Obstetrics and Gynecology 342
  • Endocrinology, Diabetes and Metabolism 77
  • General Health Professions 95
  • Endocrine and Autonomic Systems 19
Replace Zachary M. Ferraro with:
Zachary M. Ferraro Canada
Ellis Voerman Netherlands
Miodrag Dodic Australia
Carol ní Chaoimh Ireland
Enqing Liu China
Marjorelee Colega Singapore
Lene Schack‐Nielsen Denmark
Hendrina A. de Boo New Zealand
Büşra Durmuş Netherlands
Eileen C. O’Brien Ireland
Minglan Li relative to Zachary M. Ferraro Canada Zachary M. Ferraro's profile →
Citations per field
00.5×1.5×2×2.5×
Zachary M. Ferraro · 1×
Citations per year

Countries citing papers authored by Minglan Li

Since Specialization
Citations

This map shows the geographic impact of Minglan Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Minglan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minglan Li more than expected).

Fields of papers citing papers by Minglan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minglan Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Minglan Li. The network helps show where Minglan Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Minglan Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minglan Li Line = papers co-authored together Minglan Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011178
2 201785
3 201780
4 201973
5 201972
6 201562
7 201457
8 201956
9 201355
10 201853
11 201343
12 201429
13 201328
14 201328
15 201426
16 201925
17 202125
18 202021
19 201814
20 202014

About Minglan Li

Minglan Li is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, General Health Professions and Cell Biology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Birth, Development, and Health (11 papers), Global Maternal and Child Health (10 papers), Maternal and Perinatal Health Interventions (7 papers), Pregnancy and preeclampsia studies (5 papers), Maternal and Neonatal Healthcare (3 papers), Gestational Diabetes Research and Management (3 papers), Diet, Metabolism, and Disease (2 papers) and Aldose Reductase and Taurine (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (503 citations), Obstetrics and Gynecology (342 citations), Endocrinology, Diabetes and Metabolism (77 citations), General Health Professions (95 citations) and Endocrine and Autonomic Systems (19 citations). Minglan Li has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Mark Hedley Vickers, Deborah Magdalena Sloboda, Clare M. Reynolds, Clint L. Gray, Edwin A. Mitchell, Tomasina Stacey, Robin S. Cronin, John Thompson, Lesley M. E. McCowan and Alexander E. P. Heazell. Their work appears in journals such as PLoS ONE, BJOG An International Journal of Obstetrics & Gynaecology, Endocrinology, BMJ Open and Journal of Developmental Origins of Health and Disease.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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